An islanding detection strategy for distribution network connected with hybrid DG resources

• Main Authors: Bakar, A.H.A (Author), Karimi, M. (Author), Laghari, J.A (Author), Mohamad, H. (Author), Mokhlis, H. (Author)
• Format: Article
• Language: English
• Published: Elsevier Ltd 2015
• Subjects: Average rate; Average rate of change of reactive power; Bio-Mass; Distributed generation technologies; Distributed power generation; Electricity demands; Hybrid Distributed Generation; Islanding conditions; Islanding detection; Islanding detection techniques; Islanding phenomenon; Mini-hydro; Non-islanding events; Reactive power
• Online Access: View Fulltext in Publisher; View in Scopus

 The exponential growth in electricity demand has driven the Distributed Generation (DG) technology a boost in the power system. The use of DG is beneficial to power utilities, DG owners', and end-users in terms of reliability, power quality, and economics. However, to fully utilize the benefits of DGs, some technical issues need to be addressed. Islanding condition is one of the most important issue in this context. Until now, several islanding detection techniques have been proposed for detecting the islanding condition. This paper presents a brief overview of existing islanding detection techniques with their relative merits and demerits. Apart from this, the paper presents an islanding detection strategy suitable for hybrid DG resources of mini-hydro and Bio-Mass. The proposed strategy uses average rate of change of reactive power and load shift strategy to detect islanding of the distribution network. The performance of proposed strategy is validated on various islanding and non-islanding events. The results of proposed strategy are compared with other existing techniques in terms of fast islanding detection, and non-detection zone. The simulation results show that the proposed strategy is effective in detecting islanding phenomenon possesses fast detection and negligible non-detection zone region compared to existing islanding detection techniques. © 2015 Elsevier Ltd. All rights reserved.